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.1em plus1ex minus.2ex-.5emVisual features. We use RGB and flow features extracted from the Mixed 5c layer of an I3D network pre-trained on the Kinetics [1]} dataset. The Mixed 5c output of the flow network is averaged across the temporal dimension and pooled by four in the spatial dimension and then flattened to a vector of size 4096. We then concatenate the two. In the case of images, similar to other approaches, we use 2048D ResNet101 features, pre-trained on Imagenet [2]}.
